ESO883154 Supplemental Material - Supplemental material for Long-term outcome after ischemic stroke in relation to comorbidity – An observational study from the Swedish Stroke Register (Riksstroke)

Supplemental material, ESO883154 Supplemental Material for Long-term outcome after ischemic stroke in relation to comorbidity – An observational study from the Swedish Stroke Register (Riksstroke) by Stefan Sennfält, Mats Pihlsgård, Jesper Petersson, Bo Norrving and Teresa Ullberg in European Stroke Journal</p

Table_1_Time Trends and Monthly Variation in Swedish Acute Stroke Care.DOCX

Background and Purpose: Studies of monthly variation in acute stroke care have led to conflicting results. Our objective was to study monthly variation and longitudinal trends in quality of care and patient survival following acute stroke.Methods: Our nationwide study included all adult patients (≥18 years) with acute stroke (ischemic or hemorrhagic), admitted to Swedish hospitals from 2011 to 2016, and that were registered in The Swedish Stroke Register (Riksstroke). We studied how month of admission and longitudinal trends affected acute stroke care and survival. We also studied resilience to this variation among hospitals with different levels of specialization.Results: We included 132,744 stroke admissions. The 90-day survival was highest in May and lowest in January (84.1 vs. 81.5%). Thrombolysis rates and door-to-needle time within 30 min increased from 2011 to 2016 (respectively, 7.3 vs. 12.8% and 7.7 vs. 28.7%). Admission to a stroke unit as first destination of hospital care was lowest in January and highest in June (78.3 vs. 80.5%). Stroke unit admission rates decreased in university hospitals from 2011 to 2016 (83.4 vs. 73.9%), while no such trend were observed in less specialized hospitals. All the differences above remained significant (p Conclusion: We found that month of admission and longitudinal trends both affect quality of care and survival of stroke patients in Sweden, and that the effects differ between hospital types. The observed variation suggests an opportunity to improve stroke care in Sweden. Future studies ought to focus on identifying the specific factors driving this variation, for subsequent targeting by quality improvement efforts.</p

Atlas of the Global Burden of Stroke (1990-2013): The GBD 2013 Study

Atlas of the Global Burden of Stroke (1990-2013): The GBD 2013 Stud

Supplemental material for Evaluation of the Swedish National Stroke Campaign: A population-based time-series study

Supplemental Material for Evaluation of the Swedish National Stroke Campaign: A population-based time-series study by Annika Nordanstig, Bo Palaszewski, Kjell Asplund, Bo Norrving, Nils Wahlgren, Per Wester, Katarina Jood and Lars Rosengren in International Journal of Stroke</p

Description of SNPs included in the study.

*<p>Reference sequence NT_009775.16.</p><p>MAF∶minor allele frequency, HWE: Hardy-Weinberg equilibrium.</p

Sample characteristics.

<p>Shown are sample characteristics with mean and standard deviation for age in years, percent male for sex and percent exposed individuals for diabetes, hypertension and current smoking.</p

WSO9545 Supplemental Material - Supplemental material for Global Stroke Statistics 2019

Supplemental material, WSO9545 Supplemental Material for Global Stroke Statistics 2019 by Joosup Kim, Tharshanah Thayabaranathan, Geoffrey A Donnan, George Howard, Virginia J Howard, Peter M Rothwell, Valery Feigin, Bo Norrving, Mayowa Owolabi, Jeyaraj Pandian, Liping Liu, Dominique A Cadilhac and Amanda G Thrift in International Journal of Stroke</p

Patterns of linkage disequilibrium within <i>P2RX7</i>, <i>OASL</i>, <i>CAMKK2</i> and <i>P2RX4</i>.

<p>Shown are r²-values between polymorphic loci in the LSR sample. SNPs lying within blocks are depicted in bold type. Dark grey background: strong linkage; light grey background: uninformative; white background: recombination.</p

Schematic map of the genomic region containing <i>OASL</i>, <i>P2RX7</i>, <i>P2RX4</i> and <i>CAMKK2</i>.

<p>A) Filled boxes represent genes. Arrows indicate transcriptional direction. B) Filled boxes indicate exonic regions. The position of each SNP included in the study is indicated by vertical arrows.</p

Data_Sheet_1_Early Brain Volume Changes After Stroke: Subgroup Analysis From the AXIS-2 Trial.docx

Background and PurposeThe evolution of total brain volume early after stroke is not well understood. We investigated the associations between age and imaging features and brain volume change in the first month after stroke.MethodsWe retrospectively studied patients with acute ischemic stroke enrolled in the AXIS-2 trial. Total brain volume change from hyperacute MRI data to the first month after stroke was assessed using unified segmentation in SPM12. We hypothesized that age, ischemic brain lesion size, and white matter (WM) changes were associated with larger brain volume change. Enlarged perivascular spaces (EPVSs) and white matter hyperintensities (WMHs) were rated visually and the presence of lacunes was assessed.ResultsWe enrolled 173 patients with a mean age of 67 ± 11 years, 44% were women. There was a median 6 ml decrease in volume (25th percentile −1 ml to 75th percentile 21 ml) over time, equivalent to a median 0.5% (interquartile range [IQR], −0.07%−1.4%), decrease in brain volume. Age was associated with larger brain volume loss (per 10 years of age, 5 ml 95% CI 2–8 ml). Baseline diffusion weighted imaging (DWI) lesion volume was not associated with greater volume loss per 10 ml of lesion volume, change by 0 ml (95% CI −0.1 to 0.1 ml). Increasing Fazekas scores of deep WMH were associated with greater tissue loss (5 ml, 95% CI 1–10 ml).ConclusionsTotal brain volume changes in a heterogenous fashion after stroke. Volume loss occurs over 1 month after stroke and is associated with age and deep WM disease. We did not find evidence that more severe strokes lead to increased early tissue loss.</p